A machine-learning modified CART algorithm informs Merkel cell carcinoma prognosis.
Shayan CheraghlouPraneeth SaddaGeorge O AgogoMichael GirardiPublished in: The Australasian journal of dermatology (2021)
Risk-stratified grouping of MCC patients incorporating positive lymph node count were strongly predictive of survival and demonstrated a high degree of within-group homogeneity and survival prediction. Incorporation of positive lymph node count within overall staging or sub-staging may help to improve future MCC staging criteria.
Keyphrases
- lymph node
- machine learning
- sentinel lymph node
- neoadjuvant chemotherapy
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- deep learning
- peripheral blood
- prognostic factors
- free survival
- artificial intelligence
- big data
- patient reported outcomes
- radiation therapy
- early stage
- patient reported